Vai al contenuto principale della pagina

Nonparametric statistics with applications to science and engineering with R / / Paul Kvam, Brani Vidakovic and Seong-Joon Kim



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Kvam Paul H. <1962-> Visualizza persona
Titolo: Nonparametric statistics with applications to science and engineering with R / / Paul Kvam, Brani Vidakovic and Seong-Joon Kim Visualizza cluster
Pubblicazione: Hoboken, New Jersey : , : Wiley, , [2023]
©2023
Edizione: Second edition.
Descrizione fisica: 1 online resource (451 pages)
Disciplina: 519.5
Soggetto topico: Nonparametric statistics
Science - Statistical methods
Engineering - Statistical methods
Persona (resp. second.): VidakovicBrani
KimSeong-Joon <1984->
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: "This book presents modern nonparametric statistics from a practical point of view. This new edition includes custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system. Following an introduction and a discussion of the basics of probability, statistics, and Bayesian statistics, the book discusses order statistics, Kolmogorov-Smirnov test statistic, rank tests, and designed experiments. Next, categorical data, estimating distribution functions, and density estimation is examined. Least squares regression is covered, along with curve fitting techniques, wavelets, and bootstrap sampling. Other topics examined include EM algorithm, statistical learning, nonparametric Bayes, and WinBUGS. This book will be of interest to graduate students in engineering and the physical and mathematical sciences as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods"--
Titolo autorizzato: Nonparametric statistics with applications to science and engineering with R  Visualizza cluster
ISBN: 1-119-26815-X
1-119-26817-6
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910677727703321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Wiley series in probability and statistics.